Project measure / variable:   Auwerx2   horiz_act_day_HFD

ID, description, units MPD:114624   horiz_act_day_HFD   horizontal activity (beam breaks) during day, basal activity test, for 48h   [n/h]  HFD  
Data set, strains Auwerx2   inbred w/CC8   9 strains     sex: both     age: 19wks
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  STRAIN COMPARISON PLOT
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Auwerx2 - horizontal activity (beam breaks) during day, basal activity test, for 48h HFD



  MEASURE SUMMARY
Measure Summary FemaleMale
Number of strains tested9 strains8 strains
Mean of the strain means37558.0   n/h 18740.0   n/h
Median of the strain means41146.0   n/h 18192.0   n/h
SD of the strain means± 20376.0 ± 5784.0
Coefficient of variation (CV)0.5425 0.3086
Min–max range of strain means11553.0   –   69132.0   n/h 11290.0   –   31048.0   n/h
Mean sample size per strain3.8   mice 4.1   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
sex 1 5878560537.1607 5878560537.1607 10.5833 0.0023
strain 6 8646795299.6545 1441132549.9424 2.5945 0.0314
sex:strain 6 4926240708.3884 821040118.0647 1.4781 0.2091
Residuals 42 23329122822.35 555455305.294


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
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Strain Sex Mean SD N mice SEM CV Min, Max Z score
129S1/SvImJ f 26346.0 15755.0   5 7046.0 0.598 12057.0, 53046.0 -0.55
129S1/SvImJ m 20690.0 2058.0   2   1456.0 0.0995 19234.0, 22145.0 0.34
A/J f 12682.0 1562.0   4 781.0 0.1232 10445.0, 13955.0 -1.22
A/J m 11290.0 2703.0   5 1209.0 0.2394 8266.0, 14576.0 -1.29
C57BL/6J f 53014.0 18933.0   3 10931.0 0.3571 31424.0, 66785.0 0.76
C57BL/6J m 19238.0 3464.0   4 1732.0 0.1801 15476.0, 22214.0 0.09
CAST/EiJ f 69132.0 62950.0   5 28152.0 0.9106 23681.0, 177739.0 1.55
CAST/EiJ m 16088.0 1435.0   2   1014.0 0.0892 15073.0, 17102.0 -0.46
DBA/2J f 11553.0 2568.0   5 1148.0 0.2222 8958.0, 14279.0 -1.28
DBA/2J m 15103.0 3112.0   5 1392.0 0.2061 11845.0, 19996.0 -0.63
NOD/ShiLtJ f 45010.0 0.0   1   0.0 0.0 45010.0, 45010.0 0.37
NOD/ShiLtJ m 31048.0 8684.0   5 3883.0 0.2797 23217.0, 42972.0 2.13
NZO/HlLtJ f 22417.0 5331.0   5 2384.0 0.2378 17911.0, 29849.0 -0.74
PWK/PhJ f 41146.0 6364.0   3 3674.0 0.1547 37201.0, 48488.0 0.18
PWK/PhJ m 17146.0 6835.0   5 3057.0 0.3987 11708.0, 28482.0 -0.28
WSB/EiJ f 56723.0 47449.0   3 27394.0 0.8365 24594.0, 111221.0 0.94
WSB/EiJ m 19313.0 14611.0   5 6534.0 0.7565 9090.0, 44966.0 0.1


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ f 26346.0 10539.9744334989 47616.5295524182 5075.4704475817
129S1/SvImJ m 20689.5 16665.1628448997 54321.1602117818 -12942.1602117818
A/J f 12681.75 11784.0496572066 36462.9249983127 -11099.4249983127
A/J m 11290.4000000001 10539.9744334989 32560.9295524183 -9980.1295524182
C57BL/6J f 53014.3333333333 13607.0484834644 80474.4689071762 25554.1977594904
C57BL/6J m 19237.5 11784.0496572066 43018.6749983127 -4543.6749983127
CAST/EiJ f 69131.6 10539.9744334989 90402.1295524183 47861.0704475818
CAST/EiJ m 16087.5 16665.1628448997 49719.1602117818 -17544.1602117817
DBA/2J f 11552.6 10539.9744334989 32823.1295524182 -9717.9295524183
DBA/2J m 15103.2 10539.9744334989 36373.7295524182 -6167.3295524183
PWK/PhJ f 41146.3333333333 13607.0484834643 68606.4689071762 13686.1977594905
PWK/PhJ m 17146.0 10539.9744334989 38416.5295524183 -4124.5295524182
WSB/EiJ f 56722.6666666666 13607.0484834644 84182.8022405095 29262.5310928238
WSB/EiJ m 19313.4 10539.9744334988 40583.9295524182 -1957.1295524182


  LEAST SQUARES MEANS (MODEL-ADJUSTED), SEXES COMBINED
Strain Sex Mean SEM UpperCL LowerCL
129S1/SvImJ both 23517.75 9859.2432988774 43414.5085050998 3620.9914949002
A/J both 11986.075 7904.9808251241 27938.9721643137 -3966.8221643136
C57BL/6J both 36125.9166666666 9000.2165912113 54289.0890907932 17962.7442425401
CAST/EiJ both 42609.55 9859.2432988774 62506.3085050998 22712.7914949002
DBA/2J both 13327.9 7452.8873954599 28368.4356859438 -1712.6356859438
PWK/PhJ both 29146.1666666667 8605.8530880175 46513.4813207383 11778.852012595
WSB/EiJ both 38018.0333333333 8605.8530880175 55385.347987405 20650.7186792616




  GWAS USING LINEAR MIXED MODELS